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. 2023 Sep 26;11(19):2626.
doi: 10.3390/healthcare11192626.

Using Lean Six Sigma in a Private Hospital Setting to Reduce Trauma Orthopedic Patient Waiting Times and Associated Administrative and Consultant Caseload

Anthony Pierce  1 , Seán Paul Teeling  2   3 , Martin McNamara  2 , Brendan O'Daly  1 , Ailish Daly  1
Affiliations

Using Lean Six Sigma in a Private Hospital Setting to Reduce Trauma Orthopedic Patient Waiting Times and Associated Administrative and Consultant Caseload

Anthony Pierce et al. Healthcare (Basel). .

Abstract

In Ireland, the extent of outpatient orthopedic waiting lists results in long waiting times for patients, delays in processing referrals, and variation in the consultant caseload. At the study site, the Define, Measure, Analyze, Improve, and Control (DMAIC) Lean Six Sigma framework was applied to evaluate sources of Non-Value-Added (NVA) activity in the process of registering and triaging patients referred to the trauma orthopedic service from the Emergency Department. A pre- (October-December 2021)/post- (April-August 2022) intervention design was employed, utilizing Gemba, Process Mapping, and the TIMWOODS tool. Embracing a person-centered approach, stakeholder Voice of Customer feedback was sought at each stage of the improvement process. Following data collection and analysis, a co-designed pilot intervention (March 2022) was implemented, consisting of a new triage template, dedicated trauma clinic slots, a consultant triage roster, and a new option to refer directly to physiotherapy services. This resulted in the total wait time of patients for review being reduced by 34%, a 51% reduction in the process steps required for registering, and an increase in orthopedic consultant clinic capacity of 22%. The reduction in NVA activities in the process and the increase in management options for triaging consultants have delivered a more efficient trauma and orthopedic pathway.

Keywords: Gemba; Lean Six Sigma; Voice of Customer; trauma orthopedics; triage; wait time.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
High-level process map.
Figure 2
Figure 2
Linear process map: pre-intervention waiting times.
Figure 3
Figure 3
New Tracker Prototype.
Figure 4
Figure 4
The impact on waiting times.
See this image and copyright information in PMC

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